Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents
A new VentureBeat Pulse Research study finds that 101 enterprises are using model-provider platforms for agent orchestration, but most are still using chatbot wrappers and lack real-time fiscal control.
- Most enterprises are using model-provider platforms for agent orchestration.
- Anthropic's Claude is the leading platform for agent orchestration.
- Most deployed 'agents' are still chatbot wrappers.
- Real-time fiscal control over token burn is lacking in most enterprises.
A recent study by VentureBeat Pulse Research examined the agent orchestration practices of 101 enterprises. The results show that most companies are using model-provider platforms, with Anthropic's Claude leading the pack. However, despite the ambition to use real agents, most deployed 'agents' are still chatbot wrappers. This lack of real-time fiscal control over token burn is a significant issue for enterprises looking to leverage AI.
The study highlights the challenges that enterprises face when it comes to agent orchestration. While some companies are making progress, many are still struggling to deploy real agents and achieve the level of control they need. This is a significant problem, as it can limit the potential benefits of AI and make it harder for companies to achieve their goals.
The use of model-provider platforms is a key trend in agent orchestration. These platforms offer a range of benefits, including ease of use and scalability. However, they also raise concerns about lock-in and the lack of control over the underlying models.
Overall, the study suggests that enterprises need to be more strategic in their approach to agent orchestration. They need to think carefully about their goals and choose the right platforms and tools to achieve them. By doing so, they can overcome the challenges of agent orchestration and unlock the full potential of AI.
Understanding the challenges of agent orchestration can help developers create more effective AI solutions.
Agent orchestration is critical for businesses looking to leverage AI and achieve their goals.
The challenges of agent orchestration can impact the success of AI startups and investments.
Agent orchestration is a key area of AI research and development.
- Agent orchestration
- The process of managing and coordinating multiple AI agents to achieve a common goal.
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